What are the key regulatory compliance issues in NLP?
An example of an AI chatbot conversation about regulatory compliance in NLP.
What are the key regulatory compliance issues in NLP?
Key issues include data privacy, bias in algorithms, and adherence to industry standards like GDPR.
How does GDPR affect NLP applications?
GDPR mandates that personal data must be processed lawfully, requiring NLP systems to ensure data protection.
Can you give examples of bias in NLP models?
Sure! Bias can occur in language models that reflect societal stereotypes, affecting fairness in applications.
What steps can be taken to ensure compliance?
Implementing regular audits, using diverse training data, and ensuring transparency in algorithms are essential steps.
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